Speech-activated text retrieval system for multimodal cellular phones
By S. Ishikawa, T. Ikeda, Kiyokazu Miki, Fumihiro Adachi, R. Isotani, Ken-ichi Iso, Akitoshi Okumura. 2004
9 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Information Retrieval & Search, Speech & Audio
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In Artificial Intelligence
In Information Systems
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Citations in the corpus
- FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech (2022, background): “As user interactions with machines move beyond textual queries, multi-modal retrieval of documents across the web is of growing interest [31, 32, 33].”